Update app.py

app.py

@@ -12,16 +12,16 @@ from huggingface_hub import hf_hub_download
 
 # Examples for the Gradio Demo
 examples = [
-    ['assets/example_videos/davis_rollercoaster.mp4', -1, -1, 1280],
-    ['assets/example_videos/Tokyo-Walk_rgb.mp4', -1, -1, 1280],
-    ['assets/example_videos/4158877-uhd_3840_2160_30fps_rgb.mp4', -1, -1, 1280],
-    ['assets/example_videos/4511004-uhd_3840_2160_24fps_rgb.mp4', -1, -1, 1280],
-    ['assets/example_videos/1753029-hd_1920_1080_30fps.mp4', -1, -1, 1280],
-    ['assets/example_videos/davis_burnout.mp4', -1, -1, 1280],
-    ['assets/example_videos/example_5473765-l.mp4', -1, -1, 1280],
-    ['assets/example_videos/Istanbul-26920.mp4', -1, -1, 1280],
-    ['assets/example_videos/obj_1.mp4', -1, -1, 1280],
-    ['assets/example_videos/sheep_cut1.mp4', -1, -1, 1280],
+    ['assets/example_videos/davis_rollercoaster.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/Tokyo-Walk_rgb.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/4158877-uhd_3840_2160_30fps_rgb.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/4511004-uhd_3840_2160_24fps_rgb.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/1753029-hd_1920_1080_30fps.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/davis_burnout.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/example_5473765-l.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/Istanbul-26920.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/obj_1.mp4', -1, -1, 1280, False, False, 0],
+    ['assets/example_videos/sheep_cut1.mp4', -1, -1, 1280, False, False, 0],
 ]
 
 DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
@@ -59,11 +59,12 @@ def infer_video_depth(
     max_len: int = -1,
     target_fps: int = -1,
     max_res: int = 1280,
-    output_dir: str = './outputs',
-    input_size: int = 518,
     stitch: bool = False,
     grayscale: bool = False,
     blur: float = 0.0,
+    *,  # Ab hier folgen keyword-only Parameter:
+    output_dir: str = './outputs',
+    input_size: int = 518,
 ):
     # Read input video frames
     frames, target_fps = read_video_frames(input_video, max_len, target_fps, max_res)
@@ -122,8 +123,8 @@ def construct_demo():
         
         with gr.Row(equal_height=True):
             with gr.Column(scale=1):
-                # Hier wird der Parameter "source" entfernt, da er in der aktuellen API nicht mehr unterstützt wird.
-                input_video = gr.Video(label="Input Video")
+                # Verwende hier source="upload" für das Datei-Upload-Feld
+                input_video = gr.Video(label="Input Video", source="upload")
             with gr.Column(scale=2):
                 with gr.Row(equal_height=True):
                     processed_video = gr.Video(label="Preprocessed Video", interactive=False, autoplay=True, loop=True, show_share_button=True, scale=5)